An Ant Colony based Hyper-Heuristic Approach for the Set Covering Problem
<span>The Set Covering Problem (SCP) is a NP-hard combinatorial optimization problem that is challenging for meta-heuristic algorithms. In the optimization literature, several approaches using meta-heuristics have been developed to tackle the SCP and the quality of the results provided by thes...
Main Authors: | Alexandre Silvestre FERREIRA, Aurora POZO, Richard Aderbal GONÇALVES |
---|---|
Format: | Article |
Language: | English |
Published: |
Ediciones Universidad de Salamanca
2015-12-01
|
Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
Subjects: | |
Online Access: | https://revistas.usal.es/index.php/2255-2863/article/view/13172 |
Similar Items
-
Hyper-Heuristic Based on ACO and Local Search for Dynamic Optimization Problems
by: Felipe Martins Müller, et al.
Published: (2021-12-01) -
Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems
by: Alonso Vela, et al.
Published: (2022-01-01) -
Application of ant colony optimization metaheuristic on set covering problems
by: Christian Alvin Buhat, et al.
Published: (2022-01-01) -
A Feature-Independent Hyper-Heuristic Approach for Solving the Knapsack Problem
by: Xavier Sánchez-Díaz, et al.
Published: (2021-10-01) -
A Novel Heuristic Communication Heterogeneous Dual Population Ant Colony Optimization Algorithm
by: Mingle Xu, et al.
Published: (2017-01-01)